AI - Powered Carbon Footprint Tracker

Authors

  • Sonali R. Kanthe Department of Computer Science & Engineering, Yashoda Technical Campus Satara , Maharashtra, India Author
  • Shruti A. Nikalje Department of Computer Science & Engineering, Yashoda Technical Campus Satara , Maharashtra, India Author
  • Mahesh S. Hol Department of Computer Science & Engineering, Yashoda Technical Campus Satara , Maharashtra, India Author
  • Shubham S. Bhiknar Department of Computer Science & Engineering, Yashoda Technical Campus Satara , Maharashtra, India Author
  • Adarsh S. Gaikwad Department of Computer Science & Engineering, Yashoda Technical Campus Satara , Maharashtra, India Author
  • Mrs. Pooja D. Sutar Department of Computer Science & Engineering, Yashoda Technical Campus Satara , Maharashtra, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0584

Keywords:

Carbon Footprint, AI Chatbot, Augmented Reality, Sustainability, Environmental Awareness

Abstract

Climate change and global warming have become major environmental challenges due to increasing carbon emissions from daily human activities. Monitoring and reducing individual carbon footprints is an important step toward environmental sustainability. This paper proposes an AI Powered Carbon Footprint Tracker, a smart system designed to help individuals measure, understand and reduce their environmental impact. The proposed system integrates four major modules: a carbon footprint calculator, an AI-driven Green Chatbot, Augmented Reality (AR) visualization and a downloadable report generation system. Users can enter information related to daily activities such as electricity consumption, transportation usage and product consumption. The system calculates the estimated carbon emissions using standard emission factors. Additionally, the AR visualization module allows users to interactively understand the environmental impact of their activities, making the information more engaging and easier to interpret. Experimental observations indicate that integrating AI guidance with visualization significantly improves user awareness and engagement in sustainable practices. The proposed system demonstrates how intelligent technologies can support environmental responsibility and promote sustainable living.

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Published

2026-06-26

How to Cite

AI - Powered Carbon Footprint Tracker . (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(06), 4463-4469. https://doi.org/10.47392/IRJAEH.2026.0584